package com.atguigu.kafka.consumer;

import org.apache.kafka.clients.consumer.ConsumerConfig;
import org.apache.kafka.clients.consumer.ConsumerRecord;
import org.apache.kafka.clients.consumer.ConsumerRecords;
import org.apache.kafka.clients.consumer.KafkaConsumer;
import org.apache.kafka.common.TopicPartition;
import org.apache.kafka.common.serialization.StringDeserializer;

import java.time.Duration;
import java.util.*;

public class CustomConsumerSeekTime {
    public static void main(String[] args) {
        //0 配置信息
        Properties properties = new Properties();

        //连接
        properties.put(ConsumerConfig.BOOTSTRAP_SERVERS_CONFIG, "192.168.100.7:9092");

        //反序列化
        properties.put(ConsumerConfig.KEY_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class.getName());
        properties.put(ConsumerConfig.VALUE_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class.getName());

        //组id
        properties.put(ConsumerConfig.GROUP_ID_CONFIG, "test2");

        //1.创建消费者
        KafkaConsumer<String, String> kafkaConsumer = new KafkaConsumer<>(properties);

        //2.订阅主题
        ArrayList<String> topics=new ArrayList<>();
        topics.add("first");
        kafkaConsumer.subscribe(topics);

        //指定位置进行消费
        Set<TopicPartition> assignment = kafkaConsumer.assignment();

        //保证分区分配方案已经制定完毕
        while(assignment.size()==0){
            kafkaConsumer.poll(Duration.ofSeconds(1));

            assignment=kafkaConsumer.assignment();
        }

        //希望把时间转换为对应的offset
        HashMap<TopicPartition, Long> topicPartitionLongHashMap = new HashMap<>();

        //封装对应集合
        for (TopicPartition topicPartition : assignment) {
            topicPartitionLongHashMap.put(topicPartition,System.currentTimeMillis()-1*24*3600*1000);
        }

        kafkaConsumer.offsetsForTimes(topicPartitionLongHashMap);

        //指定消费的offset
        for (TopicPartition topicPartition : assignment) {
            Long offset = topicPartitionLongHashMap.get(topicPartition);
            kafkaConsumer.seek(topicPartition, offset);
        }

        //3.消费数据
        while(true){
            ConsumerRecords<String, String> consumerRecords = kafkaConsumer.poll(Duration.ofSeconds(1));
            for (ConsumerRecord<String, String> consumerRecord : consumerRecords) {
                System.out.println(consumerRecord);
            }
        }

    }
}
